All case studies

Environmental services

4ECO - AI Implementation

An AI chatbot answering from the company knowledge base, plus a registry of issued and returned equipment. Customer support workload dropped by about 40%.

less support workload
~40%

Client

An environmental services company with high customer inquiry volume and equipment issued to employees.

Problem

Support kept answering the same questions about the offer and procedures. Equipment issue and return was tracked in a spreadsheet, so it was hard to tell who had a device and since when.

Scope of work

Deployment of an AI chatbot on the company knowledge base and replacing the spreadsheet with an equipment registry app with reports.

Solution

The LLM chatbot answers only from the company knowledge base - offer, procedures, and FAQ - and when a question falls outside it, hands the conversation to an agent with full context. In parallel, a Flutter app on Supabase keeps the asset registry: issue, return, status, and history of every device, with a dashboard for management.

Key features

  • Chatbot answering only from the company knowledge base
  • Handover to a human with full context
  • Equipment issue and return registry instead of a spreadsheet
  • History and status of every device
  • Dashboard and reports for management

Business outcome

Support workload dropped by about 40%, customers get an answer immediately, and the company knows where every piece of equipment is.

Technologies

FlutterSupabaseOpenAI APIPostgreSQLEdge FunctionsREST API